test result

[seventheli]

model structure SimpleStack( (map_decode1): Sequential( (0): Dense(None -> 64, Activation(tanh)) (1): Dense(None -> 64, Activation(tanh)) (2): Dense(None -> 64, Activation(tanh)) (3): Dense(None -> 32, Activation(tanh)) (4): Dense(None -> 16, Activation(tanh)) ) (decision_making): Sequential( (0): Dense(None -> 3, Activation(sigmoid)) ) )

[seventheli]

reward function

if agent arrival the goal, then reward = 1, else 0

the average step used in 50000 round: 13.22246/10.54966

[seventheli]

reward function

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the average step used 8.87086 / 8.8623

[seventheli]

reward function

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the average step used 8.274410253235093/8.246965178308901

[seventheli]

reward function

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the average step used 9.19134/46.77606